Alexander Stocker, Norah Neuhuber
This talk presents results from a field study conducted in the GENDrive project funded by the Austrian Research Promotion Agency (GG), assessing how drivers interact with driver assistance systems in semi-automated passenger vehicles.
The state-of-the-art on interaction between drivers and advanced driver assistance systems (ADAS) lacks studies in the field instead of a simulated context. Beyond that, studies explicitly respecting diversity of drivers – e.g., age, gender, experience with ADAS – are underrepresented. Most studies infer their results from participant groups consisting of relatively young, technology-affine, male persons.
The GENDrive project makes use of the recent possibility to conduct field studies with recently introduced commercial ADAS (Level 2). For this purpose, a set of heterogeneous variables coming from various data sources are recorded. Such interaction patterns are assumed to be measurable by various sensors aiming at gathering data from subjects as well as objectified vehicle data. These sensors range from qualitative data (e.g., interviews) to psycho-physiological measurements (e.g., skin conductance) to eye-tracking to data acquired from the vehicle itself (e.g., speed). Using methods of data science, these measurements are combined and synchronized in order to obtain a comprehensive view on drivers.
Key Researcher, Virtual Vehicle
Alexander Stocker holds a diploma and a doctorate in business administration from the University of Graz (2010) with a focus on business informatics. He is key researcher for contextual information systems and management at the Virtual Vehicle Research Center in Graz, Austria. Previously he worked as a key researcher at JOANNEUM RESEARCH, as assistant to the CEO at the Know-Center and as a consultant for information management and technology at Datev.
Researcher, Virtual Vehicle
Norah Neuhuber, MSc, Researcher for human-centered systems at Virtual Vehicle, holds a master degree in Psychology with a specialization in Human Factors from the University of Graz. Prior to Virtual Vehicle she held a position as Research Associate at the University of Graz, concentrating on human factors research within in the aviation industry. Her main interest is concentrated on human-automation interaction with a main focus on trust in automation.